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What is Apache Airflow?

Airflow is an open-source platform that facilitates the programmatic design, scheduling, and oversight of workflows, driven by community contributions. Its architecture is designed for flexibility and utilizes a message queue system, allowing for an expandable number of workers to be managed efficiently. Capable of infinite scalability, Airflow enables the creation of pipelines using Python, making it possible to generate workflows dynamically. This dynamic generation empowers developers to produce workflows on demand through their code. Users can easily define custom operators and enhance libraries to fit the specific abstraction levels they require, ensuring a tailored experience. The straightforward design of Airflow pipelines incorporates essential parametrization features through the advanced Jinja templating engine. The era of complex command-line instructions and intricate XML configurations is behind us! Instead, Airflow leverages standard Python functionalities for workflow construction, including date and time formatting for scheduling and loops that facilitate dynamic task generation. This approach guarantees maximum flexibility in workflow design. Additionally, Airflow’s adaptability makes it a prime candidate for a wide range of applications across different sectors, underscoring its versatility in meeting diverse business needs. Furthermore, the supportive community surrounding Airflow continually contributes to its evolution and improvement, making it an ever-evolving tool for modern workflow management.

What is Amazon MWAA?

Amazon Managed Workflows for Apache Airflow (MWAA) is a cloud-based service that streamlines the establishment and oversight of intricate data pipelines by utilizing Apache Airflow. This open-source tool enables users to programmatically design, schedule, and manage a sequence of tasks referred to as "workflows." With MWAA, users can construct workflows with Airflow and Python while eliminating the complexities associated with managing the underlying infrastructure, thereby guaranteeing maximum scalability, availability, and security. The service adeptly modifies its execution capacity according to user requirements and integrates smoothly with AWS security services, providing users with quick and secure access to their data. Moreover, MWAA allows teams to concentrate on enhancing their data processes instead of being burdened by operational tasks, ultimately fostering greater innovation and productivity within the organization. This shift in focus can significantly elevate the efficiency of data-driven decision-making processes.

Media

Media

Integrations Supported

Acryl Data
Apache Druid
Ascend
Azure Marketplace
Cake AI
Coursebox AI
CrateDB
Decube
Elementary
Fraoula Data Auditor
Google Cloud Managed Service for Apache Airflow
Great Expectations
IBM watsonx.data integration
Metaphor
Microsoft Purview
Oxla
Secoda
Stackable
emma
lakeFS

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

$0.49 per hour

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

The Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

airflow.apache.org

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/managed-workflows-for-apache-airflow/

Categories and Features

AI Orchestration

Not specified

Data Pipeline

Not specified

DataOps

Not specified

Job Scheduler

Not specified

Workflow Management

Not specified

Categories and Features

Data Pipeline

Not specified

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